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作 者:郭向阳 王桓 GUO Xiangyang;WANG Huan(Jining High-tech Public Utilities Development Co.,Ltd.,Jining 272000,China;Jinan Urban Investment Design Co.,Ltd.,Jinan 250101,China)
机构地区:[1]济宁高新公用事业发展股份有限公司,山东济宁272000 [2]济南城投设计有限公司,山东济南250101
出 处:《智能物联技术》2024年第5期46-49,共4页Technology of Io T& AI
摘 要:鉴于当前供热系统中调节方法导致的供回水温差较大问题,开发一种基于优化控制算法的供热系统电调阀智能调节方法。通过精确估算流量,建立流量与阀门开度之间的定量关系模型。在集中供热系统环境下,采用该调节方法计算供、回水温度,并应用粒子群优化算法改进质量调节模式,以最优适应度值指导阀门调节过程。为确保调节过程的平稳与高效,系统密切监测一网热量表的供水瞬时流量,确保每半小时内的流量调整严格控制在预设阈值以内。同时,引入加泵延时机制,有效规避突然调节对系统稳定性的潜在冲击。实验数据表明,在整个监测周期内,供回水温差稳定维持在12℃以下,充分验证了所提出的优化控制算法在电调阀调节中的显著效果。In view of the large water temperature difference between supply and return caused by regulation methods in the current heating system,this research focuses on the development of an intelligent regulation method for the electric regulating valve in the heating system based on the optimal control algorithm.A quantitative relationship model between flow rate and valve opening was established by accurately estimating the flow rate.Furthermore,in the centralized heating system environment,this regulation method is adopted to calculate the supply and return water temperatures,and the particle swarm optimization algorithm is applied to improve the quality regulation mode,guiding the valve regulation process with the optimal fitness value.To ensure the smoothness and efficiency of the regulation process,the system closely monitors the instantaneous flow rate of the water supply of a network of heat meters,ensuring that the flow adjustment within half an hour is strictly controlled within the preset threshold.At the same time,the introduction of a pump delay mechanism effectively avoids the potential impact of sudden adjustments on system stability.The experimental data shows that the temperature difference between the supply and return water remains stable below 12℃throughout the entire monitoring period,fully verifying the significant effect of the optimization control algorithm proposed in this paper in regulating the electric regulating valve.
分 类 号:TP311.5[自动化与计算机技术—计算机软件与理论]
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